Multi-sensory Feedback-assisted Low-cost Smart Walking Cane Forming a Wearable Assembly for Blind People
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Walking along a straight path involves various sensory organs, and the senses are functionalized and harmonized for path navigation. However, visually impaired people not only are unable to find the target path but also face the risk of accidents and injuries. In this study,we propose an affordable wearable cane with the added feature of smart feedback assistance, which can guide people along straightpaths. The practical smart cane, which has ultrasonic sensors to detect obstacles, an inertial measurement unit with a gyroscope for pathdetection, and crucial real-time haptic feedback to provide out-of-line warnings, ensures the user's safety and confidence. Its fabricationusing 3D printing creates a compact assembly. This study verified this idea through experimentation and simulation. The results showedthat 70% of the deviations were less than 4 ft from the goal. Minimum, average, and maximum deviations of 2, 8, and 20 ft, respectively,are predicted if users attempt to cross a 60 ft street. The idea is that an affordable and innovative walking assistance device based ona smart cane could greatly help many people by keeping them on a straight path, preventing hazards, and allowing them to share socialspaces equally.
Abstract
Walking along a straight path involves various sensory organs, and the senses are functionalized and harmonized for path navigation. However, visually impaired people not only are unable to find the target path but also face the risk of accidents and injuries. In this study,we propose an affordable wearable cane with the added feature of smart feedback assistance, which can guide people along straightpaths. The practical smart cane, which has ultrasonic sensors to detect obstacles, an inertial measurement unit with a gyroscope for pathdetection, and crucial real-time haptic feedback to provide out-of-line warnings, ensures the user's safety and confidence. Its fabricationusing 3D printing creates a compact assembly. This study verified this idea through experimentation and simulation. The results showedthat 70% of the deviations were less than 4 ft from the goal. Minimum, average, and maximum deviations of 2, 8, and 20 ft, respectively,are predicted if users attempt to cross a 60 ft street. The idea is that an affordable and innovative walking assistance device based ona smart cane could greatly help many people by keeping them on a straight path, preventing hazards, and allowing them to share socialspaces equally.